make_denlats.sh
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#!/bin/bash
# Copyright 2012 Johns Hopkins University (Author: Daniel Povey). Apache 2.0.
# Create denominator lattices for MMI/MPE training.
# This version uses the neural-net models (version 2, i.e. the nnet2 code).
# Creates its output in $dir/lat.*.gz
# Begin configuration section.
nj=4
cmd=run.pl
sub_split=1
beam=13.0
lattice_beam=7.0
acwt=0.1
max_active=5000
transform_dir=
max_mem=20000000 # This will stop the processes getting too large.
# This is in bytes, but not "real" bytes-- you have to multiply
# by something like 5 or 10 to get real bytes (not sure why so large)
num_threads=1
online_ivector_dir=
parallel_opts= # ignored now
feat_type= # you can set this in order to run on top of delta features, although we don't
# normally want to do this.
# End configuration section.
echo "$0 $@" # Print the command line for logging
[ -f ./path.sh ] && . ./path.sh; # source the path.
. parse_options.sh || exit 1;
if [ $# != 4 ]; then
echo "Usage: steps/make_denlats.sh [options] <data-dir> <lang-dir> <src-dir> <exp-dir>"
echo " e.g.: steps/make_denlats.sh data/train data/lang exp/nnet4 exp/nnet4_denlats"
echo "Works for (delta|lda) features, and (with --transform-dir option) such features"
echo " plus transforms."
echo ""
echo "Main options (for others, see top of script file)"
echo " --config <config-file> # config containing options"
echo " --nj <nj> # number of parallel jobs"
echo " --cmd (utils/run.pl|utils/queue.pl <queue opts>) # how to run jobs."
echo " --sub-split <n-split> # e.g. 40; use this for "
echo " # large databases so your jobs will be smaller and"
echo " # will (individually) finish reasonably soon."
echo " --transform-dir <transform-dir> # directory to find fMLLR transforms."
echo " --num-threads <n> # number of threads per decoding job"
exit 1;
fi
data=$1
lang=$2
srcdir=$3
dir=$4
extra_files=
[ ! -z "$online_ivector_dir" ] && \
extra_files="$online_ivector_dir/ivector_online.scp $online_ivector_dir/ivector_period"
for f in $data/feats.scp $lang/L.fst $srcdir/final.mdl $extra_files; do
[ ! -f $f ] && echo "$0: expected file $f to exist" && exit 1;
done
sdata=$data/split$nj
splice_opts=`cat $srcdir/splice_opts 2>/dev/null`
thread_string=
[ $num_threads -gt 1 ] && thread_string="-parallel --num-threads=$num_threads"
mkdir -p $dir/log
split_data.sh $data $nj || exit 1;
echo $nj > $dir/num_jobs
utils/lang/check_phones_compatible.sh $lang/phones.txt $srcdir/phones.txt || exit 1;
oov=`cat $lang/oov.int` || exit 1;
cp -rH $lang $dir/
# Compute grammar FST which corresponds to unigram decoding graph.
new_lang="$dir/"$(basename "$lang")
# mkgraph.sh expects a whole directory "lang", so put everything in one directory...
# it gets L_disambig.fst and G.fst (among other things) from $dir/lang, and
# final.mdl from $srcdir; the output HCLG.fst goes in $dir/graph.
echo "Compiling decoding graph in $dir/dengraph"
if [ -s $dir/dengraph/HCLG.fst ] && [ $dir/dengraph/HCLG.fst -nt $srcdir/final.mdl ]; then
echo "Graph $dir/dengraph/HCLG.fst already exists: skipping graph creation."
else
echo "Making unigram grammar FST in $new_lang"
cat $data/text | utils/sym2int.pl --map-oov $oov -f 2- $lang/words.txt | \
awk '{for(n=2;n<=NF;n++){ printf("%s ", $n); } printf("\n"); }' | \
utils/make_unigram_grammar.pl | fstcompile | fstarcsort --sort_type=ilabel > $new_lang/G.fst \
|| exit 1;
utils/mkgraph.sh $new_lang $srcdir $dir/dengraph || exit 1;
fi
cmvn_opts=`cat $srcdir/cmvn_opts 2>/dev/null`
cp $srcdir/cmvn_opts $dir 2>/dev/null
if [ -z "$feat_type" ]; then
if [ -f $srcdir/final.mat ]; then feat_type=lda; else feat_type=raw; fi
fi
echo "$0: feature type is $feat_type"
case $feat_type in
delta) feats="ark,s,cs:apply-cmvn $cmvn_opts --utt2spk=ark:$sdata/JOB/utt2spk scp:$sdata/JOB/cmvn.scp scp:$sdata/JOB/feats.scp ark:- | add-deltas ark:- ark:- |";;
raw) feats="ark,s,cs:apply-cmvn $cmvn_opts --utt2spk=ark:$sdata/JOB/utt2spk scp:$sdata/JOB/cmvn.scp scp:$sdata/JOB/feats.scp ark:- |"
;;
lda) feats="ark,s,cs:apply-cmvn $cmvn_opts --utt2spk=ark:$sdata/JOB/utt2spk scp:$sdata/JOB/cmvn.scp scp:$sdata/JOB/feats.scp ark:- | splice-feats $splice_opts ark:- ark:- | transform-feats $srcdir/final.mat ark:- ark:- |"
cp $srcdir/final.mat $dir
;;
*) echo "Invalid feature type $feat_type" && exit 1;
esac
if [ ! -z "$transform_dir" ]; then
echo "$0: using transforms from $transform_dir"
[ ! -s $transform_dir/num_jobs ] && \
echo "$0: expected $transform_dir/num_jobs to contain the number of jobs." && exit 1;
nj_orig=$(cat $transform_dir/num_jobs)
if [ $feat_type == "raw" ]; then trans=raw_trans;
else trans=trans; fi
if [ $feat_type == "lda" ] && ! cmp $transform_dir/final.mat $srcdir/final.mat; then
echo "$0: LDA transforms differ between $srcdir and $transform_dir"
exit 1;
fi
if [ ! -f $transform_dir/$trans.1 ]; then
echo "$0: expected $transform_dir/$trans.1 to exist (--transform-dir option)"
exit 1;
fi
if [ $nj -ne $nj_orig ]; then
# Copy the transforms into an archive with an index.
for n in $(seq $nj_orig); do cat $transform_dir/$trans.$n; done | \
copy-feats ark:- ark,scp:$dir/$trans.ark,$dir/$trans.scp || exit 1;
feats="$feats transform-feats --utt2spk=ark:$sdata/JOB/utt2spk scp:$dir/$trans.scp ark:- ark:- |"
else
# number of jobs matches with alignment dir.
feats="$feats transform-feats --utt2spk=ark:$sdata/JOB/utt2spk ark:$transform_dir/$trans.JOB ark:- ark:- |"
fi
fi
if [ ! -z "$online_ivector_dir" ]; then
ivector_period=$(cat $online_ivector_dir/ivector_period) || exit 1;
# note: subsample-feats, with negative n, will repeat each feature -n times.
feats="$feats paste-feats --length-tolerance=$ivector_period ark:- 'ark,s,cs:utils/filter_scp.pl $sdata/JOB/utt2spk $online_ivector_dir/ivector_online.scp | subsample-feats --n=-$ivector_period scp:- ark:- |' ark:- |"
fi
# if this job is interrupted by the user, we want any background jobs to be
# killed too.
cleanup() {
local pids=$(jobs -pr)
[ -n "$pids" ] && kill $pids
}
trap "cleanup" INT QUIT TERM EXIT
if [ $sub_split -eq 1 ]; then
$cmd --num-threads $num_threads JOB=1:$nj $dir/log/decode_den.JOB.log \
nnet-latgen-faster$thread_string --beam=$beam --lattice-beam=$lattice_beam --acoustic-scale=$acwt \
--max-mem=$max_mem --max-active=$max_active --word-symbol-table=$lang/words.txt $srcdir/final.mdl \
$dir/dengraph/HCLG.fst "$feats" "ark:|gzip -c >$dir/lat.JOB.gz" || exit 1;
else
# each job from 1 to $nj is split into multiple pieces (sub-split), and we aim
# to have at most two jobs running at each time. The idea is that if we have stragglers
# from one job, we can be processing another one at the same time.
rm $dir/.error 2>/dev/null
prev_pid=
for n in `seq $[nj+1]`; do
if [ $n -gt $nj ]; then
this_pid=
elif [ -f $dir/.done.$n ] && [ $dir/.done.$n -nt $srcdir/final.mdl ]; then
echo "Not processing subset $n as already done (delete $dir/.done.$n if not)";
this_pid=
else
sdata2=$data/split$nj/$n/split${sub_split}utt;
split_data.sh --per-utt $sdata/$n $sub_split || exit 1;
mkdir -p $dir/log/$n
mkdir -p $dir/part
feats_subset=`echo $feats | sed "s/trans.JOB/trans.$n/g" | sed s:JOB/:$n/split${sub_split}utt/JOB/:g`
$cmd --num-threads $num_threads JOB=1:$sub_split $dir/log/$n/decode_den.JOB.log \
nnet-latgen-faster$thread_string --beam=$beam --lattice-beam=$lattice_beam --acoustic-scale=$acwt \
--max-mem=$max_mem --max-active=$max_active --word-symbol-table=$lang/words.txt $srcdir/final.mdl \
$dir/dengraph/HCLG.fst "$feats_subset" "ark:|gzip -c >$dir/lat.$n.JOB.gz" || touch $dir/.error &
this_pid=$!
fi
if [ ! -z "$prev_pid" ]; then # Wait for the previous job; merge the previous set of lattices.
wait $prev_pid
[ -f $dir/.error ] && echo "$0: error generating denominator lattices" && exit 1;
rm $dir/.merge_error 2>/dev/null
echo Merging archives for data subset $prev_n
for k in `seq $sub_split`; do
gunzip -c $dir/lat.$prev_n.$k.gz || touch $dir/.merge_error;
done | gzip -c > $dir/lat.$prev_n.gz || touch $dir/.merge_error;
[ -f $dir/.merge_error ] && echo "$0: Merging lattices for subset $prev_n failed (or maybe some other error)" && exit 1;
rm $dir/lat.$prev_n.*.gz
touch $dir/.done.$prev_n
fi
prev_n=$n
prev_pid=$this_pid
done
fi
echo "$0: done generating denominator lattices."